Scholarlink

<p>Healthcare-associated infections caused by <i>Acinetobacter baumannii</i> remain a major challenge. Reliable tools to evaluate intervention effectiveness are needed. This study applied a parametric survival analysis using the two-parameter Weibull model to assess outcomes among patients with carbapenem-sensitive <i>A. baumannii</i> (CSAB) infections. Data were drawn from a retrospective case-series in a regional hospital in southern Taiwan, including both community and healthcare-associated cases. The intervention combined targeted antimicrobial therapy, intensified environmental disinfection with 0.5% sodium hypochlorite in four ICUs for one month, and an educational campaign. Weibull parameters were estimated via least squares regression to compare survival functions before and after intervention. Results showed improved survival, with scale (α) increasing from 33.88 to 56.05 days and shape (β) from 0.894 to 0.948, indicating a more favorable profile. The monthly incidence of healthcare-associated infections decreased from 3.18‰ to 2.87‰ in the subsequent year, with the most pronounced reduction occurring between months 2 and 4. These findings demonstrate the utility of Weibull modeling in monitoring intervention reliability and suggest that parameter trajectories may serve as early indicators for adjusting strategies. While the intervention appears cost-effective, further analyses incorporating covariates are warranted to strengthen conclusions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The weibull model for evaluation of control reliability of carbapenem-sensitive acinetobacter baumannii infections: A case-series study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月4日

查看全文
  • Chun Chin

摘要

Healthcare-associated infections caused by Acinetobacter baumannii remain a major challenge. Reliable tools to evaluate intervention effectiveness are needed. This study applied a parametric survival analysis using the two-parameter Weibull model to assess outcomes among patients with carbapenem-sensitive A. baumannii (CSAB) infections. Data were drawn from a retrospective case-series in a regional hospital in southern Taiwan, including both community and healthcare-associated cases. The intervention combined targeted antimicrobial therapy, intensified environmental disinfection with 0.5% sodium hypochlorite in four ICUs for one month, and an educational campaign. Weibull parameters were estimated via least squares regression to compare survival functions before and after intervention. Results showed improved survival, with scale (α) increasing from 33.88 to 56.05 days and shape (β) from 0.894 to 0.948, indicating a more favorable profile. The monthly incidence of healthcare-associated infections decreased from 3.18‰ to 2.87‰ in the subsequent year, with the most pronounced reduction occurring between months 2 and 4. These findings demonstrate the utility of Weibull modeling in monitoring intervention reliability and suggest that parameter trajectories may serve as early indicators for adjusting strategies. While the intervention appears cost-effective, further analyses incorporating covariates are warranted to strengthen conclusions.